Fuzzy Matching of Web Queries to Structured Data
Conference Proceeding Article
Recognizing the alternative ways people use to reference an entity, is important for many Web applications that query structured data. In such applications, there is often a mismatch between how content creators describe entities and how different users try to retrieve them. In this paper, we consider the problem of determining whether a candidate query approximately matches with an entity. We propose an off-line, data-driven, bottom-up approach that mines query logs for instances where Web content creators and Web users apply a variety of strings to refer to the same Web pages. This way, given a set of strings that reference entities, we generate an expanded set of equivalent strings for each entity. The proposed method is verified with experiments on real-life data sets showing that we can dramatically increase the queries that can be matched.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
2010 IEEE 26th International Conference on Data Engineering ICDE: Long Beach, CA, March 1-6: Proceedings
IEEE Computer Society
City or Country
Los Alamitos, CA
CHENG, Tao; LAUW, Hady W.; and PAPARIZOS, Stelios.
Fuzzy Matching of Web Queries to Structured Data. (2010). 2010 IEEE 26th International Conference on Data Engineering ICDE: Long Beach, CA, March 1-6: Proceedings. 713-716. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1503
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